Affiliations: ICT Research Center, Key Laboratory of Optoelectronic
Technology and System of the Education, Ministry of China, Chongqing
University, Chongqing, China | College of Optoelectronic Engineering, Chongqing
University, Chongqing, China
Note: [] Corresponding author: Yongning Zou, ICT Research Center, Key
Laboratory of Optoelectronic Technology and System of the Education, Ministry
of China, Chongqing University, Chongqing, China. Tel.: +86 23 86394822; Fax:
+86 23 65103562; E-mail: zynlxu@sina.com
Abstract: Segmentation of CT volume data is important and useful in
non-destructive testing and evaluating. To eliminate the artifacts influence,
we propose a new approach of 3D defect segmentation using two steps. First of
all, an initial segmentation using 3D morphological method is performed. The
initial segmentation results include false defects. Secondly, resample in polar
coordinates method is performed. The experimental results prove that our method
is effective to correctly segment 3D defects and eliminate false segmentation.
Some experiments on CT volume data with noise are made, the results show that
our method is also useful.
Keywords: CT volume data, segmentation, morphology, 3D defect
